scholarly journals Urban Analytics Data Infrastructure: Critical SDI for Measuring and Monitoring The National and Local Progress of SDGs

2019 ◽  
pp. 243-255
Author(s):  
Abbas Rajabifard ◽  
Soheil Sabri ◽  
Yiqun Chen ◽  
Muyiwa Agunbiade ◽  
Mohsen Kalantari
Keyword(s):  
Data Infrastructure

Primer on Consumer Data Infrastructure

2019 ◽  
Author(s):  
Malavika Raghavan ◽  
Beni Chugh ◽  
Anubhutie Singh
Keyword(s):  
Data Infrastructure ◽  
Consumer Data

On the use of environmental maps in creating environmental companty spatial data infrastructure

2016 ◽  
Vol 910 (4) ◽  
pp. 18-25
Author(s):  
S.S. Dyshlyuk ◽  
◽  
O.N. Nikolaeva ◽  
L.A. Romashova ◽  
◽  
...  
Keyword(s):  
Spatial Data ◽  
Spatial Data Infrastructure ◽  
Data Infrastructure

scholarly journals COVID-19 and Children’s Well-Being: A Rapid Research Agenda

2021 ◽  
Author(s):  
Rebecca N. Dudovitz ◽  
Shirley Russ ◽  
Mary Berghaus ◽  
Iheoma U. Iruka ◽  
Jessica DiBari ◽  
...  
Keyword(s):  
Nonprofit Organizations ◽  
Research Agenda ◽  
Well Being ◽  
Research Network ◽  
Negative Effects ◽  
Research Partnerships ◽  
Data Infrastructure ◽  
Community Based Research ◽  
National Measurement ◽  
Resilient Response

Abstract Purpose Understanding the full impact of COVID-19 on U.S. children, families, and communities is critical to (a) document the scope of the problem, (b) identify solutions to mitigate harm, and (c) build more resilient response systems. We sought to develop a research agenda to understand the short- and long-term mechanisms and impacts of the COVID-19 pandemic on children’s healthy development, with the goal of devising and ultimately testing interventions to respond to urgent needs and prepare for future pandemics. Description The Life Course Intervention Research Network facilitated a series of virtual meetings that included members of 10 Maternal and Child Health (MCH) research programs, their research and implementation partners, as well as family and community representatives, to develop an MCH COVID-19 Research Agenda. Stakeholders from academia, clinical practice, nonprofit organizations, and family advocates participated in four meetings, with 30–35 participants at each meeting. Assessment Investigating the impacts of COVID-19 on children’s mental health and ways to address them emerged as the highest research priority, followed by studying resilience at individual and community levels; identifying and mitigating the disparate negative effects of the pandemic on children and families of color, prioritizing community-based research partnerships, and strengthening local, state and national measurement systems to monitor children’s well-being during a national crisis. Conclusion Enacting this research agenda will require engaging the community, especially youth, as equal partners in research co-design processes; centering anti-racist perspectives; adopting a “strengths-based” approach; and integrating young researchers who identify as Black, Indigenous, and People of Color (BIPOC). New collaborative funding models and investments in data infrastructure are also needed.

Gendered experiences of unemployment, suicide and self-harm: a population-level record linkage study

2021 ◽  
pp. 1-9
Author(s):  
R. Cunningham ◽  
A. Milner ◽  
S. Gibb ◽  
V. Rijnberg ◽  
G. Disney ◽  
...  
Keyword(s):  
Mental Health ◽  
Employment Status ◽  
Mental Health Problems ◽  
Labour Force ◽  
Antidepressant Medication ◽  
Population Level ◽  
Related Factors ◽  
Data Infrastructure ◽  
Increased Risk ◽  
Self Harm

Abstract Background Unemployment and being not in the labour force (NILF) are risk factors for suicide, but their association with self-harm is unclear, and there is continuing debate about the role of confounding by prior mental health conditions. We examine associations between employment status and self-harm and suicide in a prospective cohort, taking into account prior mental-health-related factors. Methods We used linked data from the New Zealand Integrated Data Infrastructure. The outcomes were chosen to be hospital presentation for self-harm and death by suicide. The exposure was employment status, defined as employed, unemployed, or NILF, measured at the 2013 Census. Confounders included demographic factors and mental health history (use of antidepressant medication, use of mental health services, and prior self-harm). Logistic regression was used to model effects. Analyses were stratified by gender. Results For males, unemployment was associated with an increased risk of suicide [odds ratio (OR): 1.48, 95% confidence interval (CI): 1.20–1.84] and self-harm (OR: 1.55, 95% CI: 1.45–1.68) after full adjustment for confounders. NILF was associated with an increased risk of self-harm (OR: 1.43, 95% CI: 1.32–1.55), but less of an association was seen with suicide (OR: 1.19, 95% CI: 0.94–1.49). For females, unemployment was associated with an increased risk of suicide (OR: 1.30, 95% CI: 0.93–1.80) and of self-harm (OR: 1.52, 95% CI: 1.43–1.62), and NILF was associated with a similar increase in risk for suicide (OR: 1.31, 95% CI: 0.98–1.75) and self-harm (OR: 1.32, 95% CI: 1.26–1.40). Discussion Exclusion from employment is associated with a considerably heightened risk of suicide and self-harm for both men and women, even among those without prior mental health problems.

scholarly journals The importance of soft skills development in a hard data world: learning from interviews with healthcare leaders

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Traci H. Abraham ◽  
Greg L. Stewart ◽  
Samantha L. Solimeo
Keyword(s):  
Leadership Training ◽  
Soft Skills ◽  
Quality Care ◽  
Healthcare Delivery ◽  
Care Staff ◽  
Patient Centered ◽  
Data Infrastructure ◽  
Hard Data ◽  
Formal Leadership ◽  
Healthcare Leaders

Abstract Background Learning healthcare systems have invested heavily in training primary care staff to provide care using patient-centered medical home models, but less is known about how to effectively lead such teams to deliver high quality care. Research is needed to better understand which healthcare leadership skills are most utilized or in need of development through additional training. Method Semi-structured telephone interviews with healthcare leaders familiar with Patient-Aligned Care Teams (PACT) implementation in the U.S. Department of Veterans Affairs (VA). We interviewed sixteen (N = 16) physician, nursing, and administrative leaders at VA facilities located in the upper Midwestern United States. Content analysis of interviews transcripts using template techniques. Results Participants described instrumental challenges that they perceived hindered leadership effectiveness, including the supervisory structure; pace of change; complexity of the clinical data infrastructure; an over-reliance on technology for communication; and gaps in available leadership training. Factors perceived as facilitating effective leadership included training in soft skills, face-to-face communication, and opportunities for formal training and mentorship. A cross-cutting theme was the importance of developing “soft skills” for effective PACT leadership. Conclusions Although formal leadership training and development were perceived as beneficial, healthcare leaders familiar with PACT implementation in the VA described a mismatch between the skills and knowledge PACT leaders need to succeed and the training available to them. Closing this gap could improve retention of skilled and knowledgeable healthcare leaders, thereby reducing the costs associated with training and leading to improvements in healthcare delivery.

Sign in / Sign up

Export Citation Format

Share Document